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Learning Graph-Convolutional Representations for Point Cloud Denoising

Learning Graph-Convolutional Representations for Point Cloud Denoising

6 July 2020
Francesca Pistilli
Giulia Fracastoro
D. Valsesia
E. Magli
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Learning Graph-Convolutional Representations for Point Cloud Denoising"

18 / 18 papers shown
Title
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan
Jiabao Lei
Wenhao Yuan
Y. Zhang
Dekun Lu
Guiliang Liu
Kui Jia
124
0
0
14 Mar 2025
Deep Graph-Convolutional Image Denoising
Deep Graph-Convolutional Image Denoising
D. Valsesia
Giulia Fracastoro
E. Magli
GNNSSL
51
145
0
19 Jul 2019
Image Denoising with Graph-Convolutional Neural Networks
Image Denoising with Graph-Convolutional Neural Networks
D. Valsesia
Giulia Fracastoro
E. Magli
38
45
0
29 May 2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Pedro Hermosilla
Tobias Ritschel
Timo Ropinski
3DPC
51
127
0
16 Apr 2019
3D Point Cloud Denoising via Deep Neural Network based Local Surface
  Estimation
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan
Siheng Chen
J. Kovacevic
3DPC
65
64
0
09 Apr 2019
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point
  Clouds
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
Marie-Julie Rakotosaona
Vittorio La Barbera
Paul Guerrero
Niloy J. Mitra
M. Ovsjanikov
3DPC
60
301
0
04 Jan 2019
Non-Local Recurrent Network for Image Restoration
Non-Local Recurrent Network for Image Restoration
Ding Liu
Bihan Wen
Yuchen Fan
Chen Change Loy
Thomas S. Huang
SupR
217
631
0
07 Jun 2018
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low
  Dimensional Manifold Model
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
Jin Zeng
Gene Cheung
Michael Kwok-Po Ng
Jiahao Pang
Cheng Yang
3DV
62
155
0
20 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,149
0
24 Jan 2018
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
74
223
0
01 Dec 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
207
1,231
0
10 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
490
14,320
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
810
3,287
0
24 Nov 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
6,995
0
13 Aug 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
162
5,530
0
09 Dec 2015
Graph-based denoising for time-varying point clouds
Graph-based denoising for time-varying point clouds
Y. Schoenenberger
Johan Paratte
P. Vandergheynst
3DPC
40
59
0
16 Nov 2015
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,974
0
31 Oct 2012
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